Adaptive Thermal Model for Structure Model Based Correction

Research output: Contribution to book/conference proceedings/anthology/reportChapter in book/anthology/reportContributedpeer-review


This paper discusses structure model based correction of thermal induced errors at machine tools. Using a machine model evaluated in thermal real-time, the thermal induced errors at the tool center point (TCP) are calculated based on information gotten from the machine control (e.g., axes velocities, positions, and motor currents) and ambient temperature. The machine model describes the physical relationships and considers the structure and structural variability resulting in traverse movements of the feed axes – the so-called structure model. To create this, finite elements are used as thermal and thermo-elastic models, and model order reduction (MOR) techniques are used to enable the calculation of high-resolution models in thermal real-time. Subsequent parameter updates can improve the accuracy of the initial parameter set of thermal models. A systematic procedure developed for this purpose and its application to a demonstrator machine are presented. For the update, parameters are selected which can change over the operating time, e.g., due to wear. Temperature sensor positions are chosen, sensitive to changes in these parameters. Simulations with parameters varied in a plausible range are used to determine whether parameter optimizations are reasonable. The parameter optimization runs in a trusted execution environment (TEE) on a server in parallel to the calculation of the correction model on the machine control. The confidential input data of the model and the model itself have to be protected from unauthorized access. The efficient model calculation and parameter optimization in a secure server environment leads to an adaptive thermal model (digital twin).


Original languageEnglish
Title of host publicationLecture Notes in Production Engineering
Number of pages16
Publication statusPublished - 2 Jun 2023

Publication series

Series3rd International Conference on Thermal Issues in Machine Tools (ICTIMT2023)


Title3rd International Conference on Thermal Issues in Machine Tools (ICTIMT2023)
Abbreviated titleICTIMT2023
Conference number
Duration21 - 23 March 2023
Degree of recognitionInternational event

External IDs

unpaywall 10.1007/978-3-031-34486-2_6
Scopus 85166666263
ORCID /0000-0003-0768-6351/work/141545306
ORCID /0009-0001-1168-3666/work/150884411


Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis


  • Machine Tool, Digital twin, Temperature, Optimization, Trustes execution environment, Trusted execution environment (TEE), Machine tool